Chengyin Shi
- Immunology top 5%
- Aquaculture disease management and microbiota 26
- Invertebrate Immune Response Mechanisms 8
- Animal Science and Zoology top 2%
- Animal Virus Infections Studies 7
- Aquatic Science top 5%
- Aquaculture Nutrition and Growth 4
- Endocrinology top 5%
- Vibrio bacteria research studies 4
- Genetics top 10%
- Virus-based gene therapy research 3
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- Biosensors and Analytical Detection 5
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- Bacteriophages and microbial interactions 3
In The Last Decade
Chengyin Shi
34 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 70
- Immunology 846
- Animal Science and Zoology 299
- Aquatic Science 119
- Endocrinology 83
- Genetics 226
Countries citing papers authored by Chengyin Shi
This map shows the geographic impact of Chengyin Shi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chengyin Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chengyin Shi more than expected).
Fields of papers citing papers by Chengyin Shi
This network shows the impact of papers produced by Chengyin Shi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chengyin Shi. The network helps show where Chengyin Shi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chengyin Shi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2022 | 7 | |
| 3 | 2018 | 2 | |
| 4 | 2014 | 3 | |
| 5 | 2012 | 8 | |
| 6 | 2012 | 26 | |
| 7 | Progress on Fish Cell Culture and Its Application in Fish Virology | 2010 | 1 |
| 8 | 2010 | 66 | |
| 9 | 2009 | 2 | |
| 10 | 2006 | 22 | |
| 11 | PCR amplification and sequence analysis of major capsid protein gene of turbot reddish body iridovirus(TRBIV) | 2005 | 3 |
| 12 | Investigation of pathogen and epidemiology of a novel disease, ‘Viral reddish body syndrome’, among farmed Scophthalmus maximus in China | 2005 | 4 |
| 13 | 2004 | 92 | |
| 14 | The detection of four shrimp viruses using PCD and RT-PCR | 2003 | 9 |
| 15 | 2003 | 311 | |
| 16 | 2002 | 65 | |
| 17 | 2002 | 32 | |
| 18 | Development of digoxigenin labeled probe for detection of white spot syndrome by Dot-blot hybridization | 2001 | 1 |
| 19 | Investigation and study on carrying stat us of White Spot Syndrome Virus(WSSV) i n shrimps and other aquatic animals by dot-blot hybridization | 2001 | 5 |
| 20 | 1998 | 1 |
About Chengyin Shi
Chengyin Shi is a scholar working on Immunology, Endocrinology and Animal Science and Zoology, having authored 35 papers that have together received 1.1k indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (26 papers), Invertebrate Immune Response Mechanisms (8 papers), Animal Virus Infections Studies (7 papers), Biosensors and Analytical Detection (5 papers), Vibrio bacteria research studies (4 papers), Aquaculture Nutrition and Growth (4 papers), Virus-based gene therapy research (3 papers) and Bacteriophages and microbial interactions (3 papers). The work is most often cited by research in Immunology (846 citations), Animal Science and Zoology (299 citations) and Aquatic Science (119 citations). Chengyin Shi has collaborated with scholars based in China, Singapore and Fiji. Frequent co-authors include Jie Huang, Susan Gibson‐Kueh, T.J. Lam, Yingeng Wang, Qingyin Wang, Toong Jin Lam, Karina Yew‐Hoong Gin, Bing Yang, Kuntong Jia and Guosi Xie.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.